zhuyichen's repositories
ProxylessNAS
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332
ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
LanczosNetwork
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
chainercv
ChainerCV: a Library for Deep Learning in Computer Vision
scikit-learn
scikit-learn: machine learning in Python
gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
TSAD-Evaluator
Intel Labs open source repository for time series anomaly detection evaluator
medicaltorch
A medical imaging framework for Pytorch
s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
waveglow
A Flow-based Generative Network for Speech Synthesis
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
FloWaveNet
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
pymc-learn
pymc-learn: Practical probabilistic machine learning in Python
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
dcgan_code
Deep Convolutional Generative Adversarial Networks
ad_examples
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
Variational-Lstm-Autoencoder
Lstm variational auto-encoder API for time series anomaly detection and features extraction
Metis
Metis is a learnware platform in the field of AIOps.
tslearn
A machine learning toolkit dedicated to time-series data
s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
awesome-knowledge-distillation
Awesome Knowledge Distillation
Curve
An Integrated Experimental Platform for time series data anomaly detection.